应用统计学课程可以帮助您学习数据分析、假设检验、回归技术和实验设计。您可以掌握解释 Data Set、进行预测和有效交流统计结果的技能。许多课程都会介绍 R、Python 和 Excel 等工具,这些工具支持执行统计分析和数据可视化。

Kennesaw State University
您将获得的技能: 质量改进, 精益六西格玛, 过程分析, 概率与统计, 六西格玛方法, 数据收集, 流程改进, 相关性分析, 业务过程, 统计分析, 加工能力, 探索性数据分析, 流程制图, 制图, 团队管理, 统计过程控制, 回归分析
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 分类算法, 数据预处理, 机器学习算法, 测试数据, 机器学习, 预测建模, 统计建模, 统计分析, 性能指标, 应用机器学习, 功能工程, 逻辑回归, 监督学习, 模型评估, 回归分析
中级 · 课程 · 1-3 个月
您将获得的技能: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 数据结构, Algorithm, 分析, 理论计算机科学, 编程原则, 计算思维, 伪代码, Python 程序设计
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
初级 · 课程 · 1-3 个月

您将获得的技能: Market Research, Market Analysis, Marketing, Research Methodologies, Research, Research Design, Quantitative Research, Consumer Behaviour, Market Trend, Surveys, Customer Analysis, Qualitative Research, Forecasting, Price Negotiation, Analysis, Product Testing, Data Collection, Sampling (Statistics)
混合 · 课程 · 1-4 周

Cleveland Clinic
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周
SAS
您将获得的技能: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging
攻读学位
初级 · 专业证书 · 3-6 个月
University of Maryland, College Park
您将获得的技能: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
中级 · 课程 · 1-4 周

IBM
您将获得的技能: PyTorch(机器学习库), 分类算法, 数据预处理, 概率与统计, 回归分析, 人工神经网络, 预测建模, 逻辑回归, 模型评估, 张力流, 深度学习, Machine Learning 方法
中级 · 课程 · 1-3 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
中级 · 专项课程 · 3-6 个月